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A New Workflow for Sampling and Digitizing Increment Cores

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Automatic calculation of tree diameter from stereoscopic image pairs using digital image processing.

Faliu Yi¹, Inkyu Moon

¹School of Computer Engineering, Chosun University, Gwangju, South Korea.

|June 23, 2012

Summary

This summary is machine-generated.

This study introduces an automated method using digital image processing to accurately measure tree diameters in lumbering. This innovation reduces manual labor and enhances verification for forestry operations.

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Area of Science:

Forestry Technology
Computer Vision
Digital Image Processing

Background:

Traditional tree diameter measurement is labor-intensive and prone to errors.
Accurate tree diameter data is crucial for sustainable forest management and timber valuation.
Automating this process can improve efficiency and reduce costs in the lumber industry.

Purpose of the Study:

To develop and validate an automated digital image processing technique for calculating tree diameters.
To reduce the workload of human foresters (cullers) and enable third-party verification.
To provide a more efficient and accurate method for diameter measurement in lumbering operations.

Main Methods:

Image segmentation using marker-controlled watershed transform based on the Hue Saturation Intensity (HSI) color model.
Calculating cross-sectional diameter by measuring the area of segmented regions.
Determining true diameter using stereoscopic image pairs and a derived scale factor.

Main Results:

Successfully segmented tree cross-sections from images.
Calculated tree diameters based on segmented area and image scale.
Demonstrated a method for automated, verifiable tree diameter measurement.

Conclusions:

Digital image processing offers a viable solution for automating tree diameter calculations in lumbering.
The proposed method enhances efficiency and provides objective, verifiable measurements.
This technology has the potential to significantly improve forestry operations.